Himanshu Rai

According to our database, Himanshu Rai authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Modeling of Post-Cycling Retention Bake in 3-D CTF TLC NAND Arrays.

Rashmi Saikia, Himanshu Rai, Souvik Mahapatra

Proceedings of the IEEE International Reliability Physics Symposium, 2024

Classifier Guided Cluster Density Reduction for Dataset Selection.

Cheng Chang, Keyu Long, Zijian Li, Himanshu Rai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Analysis of masked data with Lindley failure model.

Himanshu Rai, M. S. Panwar, Sanjeev K. Tomer

Commun. Stat. Simul. Comput., April, 2023

Active and passive social media usage and depression among the elderly during COVID-19: does race matter?

Malvika Chhatwani, Sushanta Kumar Mishra, Himanshu Rai

Behav. Inf. Technol., January, 2023

2021

Context-aware Scene Graph Generation with Seq2Seq Transformers.

Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guang Wei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Neural Architecture Search with Reinforce and Masked Attention Autoregressive Density Estimators.

Chepuri Shri Krishna, Ashish Gupta, Himanshu Rai, Swarnim Narayan

CoRR, 2020

Ultron-AutoML: an open-source, distributed, scalable framework for efficient hyper-parameter optimization.

Swarnim Narayan, Chepuri Shri Krishna, Varun Mishra, Abhinav Rai, Himanshu Rai, Chandrakant Bharti, Gursirat Singh Sodhi, Ashish Gupta, Nitinbalaji Singh

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Hyper-parameter optimization with REINFORCE and Masked Attention Auto-regressive Density Estimators.

Chepuri Shri Krishna, Ashish Gupta, Swarnim Narayan, Himanshu Rai, Diksha Manchanda

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Learning Effective Visual Relationship Detector on 1 GPU.

Yichao Lu, Cheng Chang, Himanshu Rai, Guang Wei Yu, Maksims Volkovs

CoRR, 2019

Semi-Supervised Exploration in Image Retrieval.

Cheng Chang, Himanshu Rai, Satya Krishna Gorti, Junwei Ma, Chundi Liu, Guang Wei Yu, Maksims Volkovs

CoRR, 2019

Noise Contrastive Estimation for One-Class Collaborative Filtering.

Ga Wu, Maksims Volkovs, Chee Loong Soon, Scott Sanner, Himanshu Rai

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Guided Similarity Separation for Image Retrieval.

Chundi Liu, Guang Wei Yu, Maksims Volkovs, Cheng Chang, Himanshu Rai, Junwei Ma, Satya Krishna Gorti

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering.

Ga Wu, Maksims Volkovs, Chee Loong Soon, Scott Sanner, Himanshu Rai

CoRR, 2018

Two-stage Model for Automatic Playlist Continuation at Scale.

Maksims Volkovs, Himanshu Rai, Zhaoyue Cheng, Ga Wu, Yichao Lu, Scott Sanner

Proceedings of the ACM Recommender Systems Challenge, 2018

2014

Iris recognition using combined support vector machine and Hamming distance approach.

Himanshu Rai, Anamika Yadav

Expert Syst. Appl., 2014

Trajectory Based Unusual Human Movement Identification for Video Surveillance System.

Himanshu Rai, Maheshkumar H. Kolekar, Neelabh Keshav, J. K. Mukherjee

Proceedings of the Progress in Systems Engineering, 2014